A Unified Mean Square Consensus Criterion for Stochastic Multi-Agent Systems With ROUs and RONs Under Impulse Time Windows

This paper probes into the leader-following mean square consensus problem of stochastic multi-agent systems with randomly occurring uncertainties (ROUs) and randomly occurring nonlinearities (RONs) under impulse time windows (ITWs). A new concept named average left endpoint interval (ALEI) related t...

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Main Authors: Zhenhua Zhang, Shiguo Peng, Tao Chen
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9300042/
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spelling doaj-7cbdd77ea8c74dadb1eb51ea5f715e852021-03-30T04:22:27ZengIEEEIEEE Access2169-35362020-01-01822799922800810.1109/ACCESS.2020.30459829300042A Unified Mean Square Consensus Criterion for Stochastic Multi-Agent Systems With ROUs and RONs Under Impulse Time WindowsZhenhua Zhang0Shiguo Peng1https://orcid.org/0000-0001-7129-7460Tao Chen2School of Automation, Guangdong University of Technology, Guangzhou, ChinaSchool of Automation, Guangdong University of Technology, Guangzhou, ChinaSchool of Automation, Guangdong University of Technology, Guangzhou, ChinaThis paper probes into the leader-following mean square consensus problem of stochastic multi-agent systems with randomly occurring uncertainties (ROUs) and randomly occurring nonlinearities (RONs) under impulse time windows (ITWs). A new concept named average left endpoint interval (ALEI) related to ITWs is proposed, which is inspired by the average impulsive interval. Based on ALEI and Lyapunov stability theory, a unified mean square consensus criterion for both stabilizing and interference impulses is attained. The introduction of ALEI allows for a larger upper bound of left endpoint interval and smaller lower bound of left endpoint interval, which makes the preset of ITWs more flexible and less conservative. The validity of the theoretical results is verified by the numerical simulation.https://ieeexplore.ieee.org/document/9300042/Stochastic multi-agent systemsrandomly occurring uncertaintiesrandomly occurring nonlinearitiesimpulse time windowsleader-following mean square consensus
collection DOAJ
language English
format Article
sources DOAJ
author Zhenhua Zhang
Shiguo Peng
Tao Chen
spellingShingle Zhenhua Zhang
Shiguo Peng
Tao Chen
A Unified Mean Square Consensus Criterion for Stochastic Multi-Agent Systems With ROUs and RONs Under Impulse Time Windows
IEEE Access
Stochastic multi-agent systems
randomly occurring uncertainties
randomly occurring nonlinearities
impulse time windows
leader-following mean square consensus
author_facet Zhenhua Zhang
Shiguo Peng
Tao Chen
author_sort Zhenhua Zhang
title A Unified Mean Square Consensus Criterion for Stochastic Multi-Agent Systems With ROUs and RONs Under Impulse Time Windows
title_short A Unified Mean Square Consensus Criterion for Stochastic Multi-Agent Systems With ROUs and RONs Under Impulse Time Windows
title_full A Unified Mean Square Consensus Criterion for Stochastic Multi-Agent Systems With ROUs and RONs Under Impulse Time Windows
title_fullStr A Unified Mean Square Consensus Criterion for Stochastic Multi-Agent Systems With ROUs and RONs Under Impulse Time Windows
title_full_unstemmed A Unified Mean Square Consensus Criterion for Stochastic Multi-Agent Systems With ROUs and RONs Under Impulse Time Windows
title_sort unified mean square consensus criterion for stochastic multi-agent systems with rous and rons under impulse time windows
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2020-01-01
description This paper probes into the leader-following mean square consensus problem of stochastic multi-agent systems with randomly occurring uncertainties (ROUs) and randomly occurring nonlinearities (RONs) under impulse time windows (ITWs). A new concept named average left endpoint interval (ALEI) related to ITWs is proposed, which is inspired by the average impulsive interval. Based on ALEI and Lyapunov stability theory, a unified mean square consensus criterion for both stabilizing and interference impulses is attained. The introduction of ALEI allows for a larger upper bound of left endpoint interval and smaller lower bound of left endpoint interval, which makes the preset of ITWs more flexible and less conservative. The validity of the theoretical results is verified by the numerical simulation.
topic Stochastic multi-agent systems
randomly occurring uncertainties
randomly occurring nonlinearities
impulse time windows
leader-following mean square consensus
url https://ieeexplore.ieee.org/document/9300042/
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